{"id":"W2371426722","doi":"","title":"A Method of Radar Realizing CFAR Detection Based on DSP Chip","year":2005,"lang":"en","type":"article","venue":"Modern Radar","topic":"Radar Systems and Signal Processing","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"L'Alliance Boviteq","funders":"","keywords":"Clutter; Constant false alarm rate; Radar; Digital signal processing; Radar signal processing; Computer science; Continuous-wave radar; Signal processing; Electronic engineering; Artificial intelligence; Radar imaging; Engineering; Telecommunications; Computer hardware","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003780068,0.0001820699,0.0002697754,0.0001448787,0.00008340189,0.00002700517,0.0001208219,0.0001051225,0.00001799623],"category_scores_gemma":[0.00001510587,0.0001768419,0.00009354538,0.0001562027,0.00001386217,0.0001365741,0.000008691643,0.0001813178,0.00001055255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001045103,"about_ca_system_score_gemma":0.00002220864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008265808,"about_ca_topic_score_gemma":0.00003976493,"domain_scores_codex":[0.9988719,0.00005902915,0.0003382631,0.000204111,0.0002891625,0.0002375791],"domain_scores_gemma":[0.9995237,0.0000640487,0.00006755895,0.0002471457,0.00002983823,0.00006768521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003989463,0.00003310167,0.00001498594,0.000255704,0.00003389156,0.00000532019,0.0004427445,0.2320087,0.3085394,0.000106066,0.0001521731,0.458368],"study_design_scores_gemma":[0.0003572665,0.00004208885,0.00006864068,0.0001093969,0.00001486795,0.00000875869,0.00002552563,0.7943141,0.1986987,0.0002002687,0.005987212,0.0001731424],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02732757,0.00052286,0.962802,0.00005964964,0.0001157086,0.0001328165,0.00000760024,0.000264391,0.008767382],"genre_scores_gemma":[0.93405,0.000005291719,0.06555831,0.00005974159,0.0002024785,0.000006657321,0.000002822785,0.00005519276,0.00005953105],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9067224,"threshold_uncertainty_score":0.7211402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01348126093314219,"score_gpt":0.238037217501821,"score_spread":0.2245559565686788,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}